Instructions to use facebook/mms-tts-tha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-tha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-tha")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-tha") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-tha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66f5f6850e8f7fa8412bbdf75b01687479a70968e3fd27e900447596b7ee6a65
- Size of remote file:
- 145 MB
- SHA256:
- 05d5d70bf3c92e1a9a32e4644d361c02ab32333972ccda5d2e3bc3dd5cefd30e
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